R.M. Fujimoto. Parallel and Distributed Simulation Systems. John Wiley & Sons, Inc., first edition, 2000.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....geophysics (e.g. environmental and global climate modeling) biological systems, drug design, and plasma physics. In all these areas, there is strong interest in developing increasingly sophisticated applications that couple ever more advanced simulations of very diverse physical systems. In [61][63] several fields where parallel and distributed simulation technologies have been successfully applied are reported. In particular, some applications belonging to areas such as the design of complex systems, education and training, entertainment, military, social and business collaborations, ....

R. M. Fujimoto, Parallel and Distributed Simulation Systems, Wiley & Sons, 2000 pp.300

....efficiently test multiple deliberative agents, each of which consumes significant storage and computation resources, a concurrent, distributed simulation is desirable. Since the execution time of deliberative components can hardly be foretold, conservative techniques that are based on lookahead [10] are not easily applicable. In addition, multi agent systems are characterized by dynamic patterns of composition and interaction. The costs introduced by saving states of the model, including information about added and deleted models and couplings, moving agents etc. makes state savings ....

....multi agent systems are characterized by dynamic patterns of composition and interaction. The costs introduced by saving states of the model, including information about added and deleted models and couplings, moving agents etc. makes state savings expensive and asks for storage saving strategies [10]. In addition, logical processes that are executing an agent or part of an agent might consume very different amount of wallclock time to advance in simulation time. A danger exists that most models of a simulation have run optimistically to completion, before one agent has decided on its action ....

R.M. Fujimoto. Parallel and Distributed Simulation Systems. John Wiley and Sons, 2000.

....represented by a logical process. Interactions among physical processes (event s) are modelled by timestamped messages exchanged 26 among the corresponding logical processes. Although PARSEC programs may be executed using parallel optimistic or conservative protocols as indicated by Fujimoto in [7], the programs developed for simulating the optoelectronic architecture are executed using the traditional sequential simulation protocol (Global Event List) The simulator randomly generates the elements to be sorted and performs the three supersteps in the algorithm described above. The ....

R.M. Fujimoto, Parallel and Distributed Simulation Systems, Wiley Interscience, 2000. 31

....of the eld, the reader should consult the proceedings of the Workshop on Parallel and Distributed Simulation (PADS) published by the IEEE Computer Society. These proceedings are available from 1986 to the present date. A less painful way to become versed in the eld is to acquire a recent book [23]. Two primary approaches to synchronization algorithms have been developed, the conservative and the optimistic classes of algorithms. A conservative algorithm is characterized by its blocking behavior. In a conservative simulation, if one of the input queues at an LP is empty, the LP blocks, ....

R. Fujimoto. Parallel and Distributed Simulation Systems, Wiley Interscience, 2000.

....at a severe disadvantage until science discovers a method of communication that is not limited by the speed of light. Examples of these computations include interactive applications and human in the loop simulations. Distributed simulations that require a lower bound timestamp computation (e.g. [7]) will also be disadvantaged since this relies on a reduction over the timestamps of all hosts and all transient (in flight) messages. Latency will limit the advancement of simulated time and, hence, of the entire simulation. 2) Latency Insensitive Computations. In these computations, latency ....

R. Fujimoto. Parallel and Distributed Simulations Systems. Wiley, 2000.

....[20] 21] Typically, interest grouping is done on the basis of (x,y) grid coordinates, a natural interest clustering for the application area of virtual environments. Section VI discusses how our work can leverage these techniques. Lastly, our work is related to parallel simulation techniques [22], 23] 8] Parallel simulations operate with either conservative or optimistic event processing. In conservative processing, no entity may be out of synchronization with other entities and therefore no lookahead and processing of events is possible. Optimistic techniques allow for entities to ....

R.M. Fujimoto, Parallel and Distributed Simulation Systems, Wiley Interscience, January 2000.

....functionality was added. An important reason for that was to be able to reuse control modules designed and tested with simulation for the control of real objects such as automated guided vehicles, Ottjes , Hogedoorn, 1996) Using existing solutions for distributed modeling, especially HLA (Fujimoto, 2000, Rabe, 2000) would have been the most obvious way. Apart from the advantages, using HLA would however take a lot of extra effort next to the usual simulation efforts (Klein, Strassburger, 1998) Considering that we only need a small subset of all HLA possibilities, it was decided that a basic ....

....the stand alone model into several parts called member models . We want each port to operate in an autonomous Port model. The Ocean model is to be a separate model containing ships while sailing. In the HLA terminology port and ocean would be called federates and together they form a federation (Fujimoto 2000). Furthermore it should be possible to generate and terminate any port at any time, provided that at least one port stays connected. If a port is terminated then its ship should remain in the system. We distinguish between two types of models which may be member models of the distributed model: ....

Fujimoto R.M. 2000. Parallel and Distributed Simulation Systems. Wiley Series on Parallel and Distrinuted Computing. Wiley, New York.

....case, the model builder usually programs in a general purpose language, such as Java [11 15] Using a special purpose simulation language and a compiler that translates the models into other languages, such as Java and C . This is our approach. Parallel and distributed simulation (PADS) [16] has flourished in the latter 1990s [17] having been included in the High Level Architecture (HLA) 18] and in air traffic and transportation systems. Transparency as to machine assignment in heterogeneous environments is one of the essential properties of distributed simulation ....

Fujimoto, R.M. Parallel and Distributed Simulation Systems, Wiley Interscience, 1999.

....is a key problem that must be addressed. Section 5 is concerned with distributed virtual environments. This paper is an updated version of a previous tutorial presented at this conference in 1995 122 Fujimoto (Fujimoto 1995) A much more detailed treatment of this subject is presented in (Fujimoto 1999). 2 ANALYTIC SIMULATIONS AND VIRTUAL ENVIRONMENTS Here, we distinguish between two major categories of parallel and distributed simulations: analytic simulations and distributed virtual environments. Analytic simulations are typically used to quantitatively analyze the behavior of systems, ....

....by an LP to determine bounds on the timestamp of future events it might receive from other LPs. This assumes it is known which LPs send messages to which other LPs. Full elaboration this technique is beyond the scope of the present discussion, however, these techniques and others are described in (Fujimoto 1999). 3.2 Optimistic Synchronization In contrast to conservative approaches that avoid violations of the local causality constraint, optimistic methods allow violations to occur, but are able to detect and recover from them. Optimistic approaches offer two important advantages over conservative ....

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Fujimoto, R. M. (1999). Parallel and Distributed Simulation Systems, Wiley Interscience.

....assign a precise time stamp to each event, and ensure that events are processed in time stamp order. A synchronization protocol is needed to achieve the latter property. Synchronization protocols have been widely studied, and are often categorized as being either conservative, or optimistic. See [5] for an in depth discussion of these protocols. Unfortunately, existing conservative and optimistic synchronization mechanisms have severe liabilities when applied to federated simulation systems. It is well known that conservative simulations perform poorly when the model has little or no ....

Fujimoto, R.M., Parallel and Distributed Simulation Systems. 1999: Wiley Interscience.

....parallel simulation expertise to use. A few important research directions for this technology are briefly discussed next. 4.1 Synchronization Synchronization will remain a core research area in the future. Synchronization algorithms can be broadly classified as conservative or optimistic (Fujimoto 1999). A key challenge in exploiting optimistic execution is maintaining transparency. Introducing rollback to an existing simulator requires a major re engineering effort to incorporate state saving mechanisms. In addition, special primitives must be used for I O and memory allocation to ensure that ....

....with High Technology (Dodsworth 1998) Distributed simulations are those applications that span multiple computer devices, executables, or geographic areas. These include what are often referred to as parallel and distributed simulations (PADS) and distributed interactive simulations (DIS) (Fujimoto 1999). These communities vary widely in their techniques for implementing a distributed simulation, but they both fall under the general category of distributed simulation. Distributed simulation is widely applied in military training systems in which computers and executables have been joined ....

Fujimoto, R. M. 1999. Parallel and Distributed Simulation Systems, Wiley Interscience.

.... FTP Size Original Improved 10000 28,070 10,200 100000 262,000 91,944 1000000 2,597,103 910,560 time of all other simulators, adjusted for the minimum time delay of events between simulators (known as the lookahead) Our original implementation used a one pass butterfly barrier as described in [6]. As the barrier is being processed, each processor exchanges information regarding the smallest simulation time known, as well as message transmit and receive counts. This becomes problematic when there are an excess of transient messages. Transient messages are messages sent by one processor but ....

R. Fujimoto. Parallel and Distributed Simulation Systems. Wiley Interscience, 1999.

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R.M. Fujimoto. Parallel and Distributed Simulation Systems. John Wiley & Sons, Inc., first edition, 2000.

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Fujimoto RM. Parallel and Distributed Simulation Systems. Wiley, 2000; 300.

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R. M. Fujimoto. Parallel and Distributed Simulation Systems. Wiley-- Interscience, 1999.

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R.M. Fujimoto, Parallel and Distributed Simulation Systems, John Wiley & sons, inc., 2000.

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Richard M. Fujimoto. Parallel and Distributed Simulation Systems. Wiley-Interscience, 2000.

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R.M. Fujimoto, Parallel and Distributed Simulation Systems, Wiley, 2000.

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R. M. Fujimoto. Parallel and Distributed Simulation Systems. Wiley, 2000.

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R.M. Fujimoto, Parallel and Distributed Simulation Systems, Wiley, 2000.

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R. Fujimoto, Parallel and Distributed Simulation Systems, 1st ed. New York: John Wiley & Sons, 2000.

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R. M. Fujimoto. Parallel and Distributed Simulation Systems. Wiley, 2000.

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R.M. Fujimoto, Parallel and Distributed Simulation Systems, Wiley Interscience, January 2000.

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R. M. Fujimoto, Parallel and Distributed Simulation Systems, Proceedings of the 2001 Winter Simulation Conference, vol. #, pp. #47-#57, 200#.

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Richard M. Fujimoto. Parallel and distributed simulation systems. Wiley, New York, 2000.

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